www.gusucode.com > optim 案例源码 matlab代码程序 > optim/UseaMILPProblemStructureExample.m
%% Use a Problem Structure % Solve the problem % % $$ \mathop {\min }\limits_x \left( { - 3{x_1} - 2{x_2} - {x_3}} \right) % {\rm{\ subject\ to }}\left\{ {\begin{array}{*{20}{l}} % {{x_3}{\rm{\ binary}}}\\ % {{x_1},{x_2} \ge 0}\\ % {{x_1} + {x_2} + {x_3} \le 7}\\ % {4{x_1} + 2{x_2} + {x_3} = 12} % \end{array}} \right. $$ % % using iterative display. Use a |problem| structure as the |intlinprog| input. %% % Specify the solver inputs. f = [-3;-2;-1]; intcon = 3; A = [1,1,1]; b = 7; Aeq = [4,2,1]; beq = 12; lb = zeros(3,1); ub = [Inf;Inf;1]; % enforces x(3) is binary options = optimoptions('intlinprog','Display','off'); %% % Insert the inputs into a problem structure. Include the solver name. problem = struct('f',f,'intcon',intcon,... 'Aineq',A,'bineq',b,'Aeq',Aeq,'beq',beq,... 'lb',lb,'ub',ub,'options',options,... 'solver','intlinprog'); %% % Run the solver. x = intlinprog(problem)